AI and Natural Language: Thomson Reuters Labs Perspective on the Future of Tech

Name: AI and Natural Language: Thomson Reuters Labs Perspective on the Future of Tech
Start: 2023-04-26T16:00:00.000Z
End: 2023-04-26T17:00:00.000Z

Wednesday, April 26, 2023

12:00 PM - 1:00 PM ET

Webinar

WEBINAR

Wednesday, April 26, 2023

12:00 PM - 1:00 PM ET

Event details

Thomson Reuters is a content-driven technology company with over a century of experience curating and classifying data and supporting professionals in complex domains that move society forward. Embedded in this legacy is their team of AI-focused engineers, research and data scientists, and designers who have been developing AI-powered applications for more than 30 years. At Thomson Reuters, AI and Natural Language are used to create, enhance, connect, and deliver trusted information to customers in its products that professionals use worldwide.

Join us for a discussion with Women leaders from Thomson Reuters Labs to learn more about how they have grown their careers in AI and Natural Language to improve the world.

During this webinar, we will explore:

How AI and Natural Language can change the face of the Tech industry in times to come
How to grow your career in the field of Artificial Intelligence
And more!

This event will be recorded and posted here following the event. We'll also email the recording directly to everyone who registers. By registering, you agree to share your email and profile information with the participating company.

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Meet the speakers

Helena Yin Koeppl

Head of Thomson Reuters Labs

Helena Yin Koeppl

Head of Thomson Reuters Labs

Isabelle Moulinier

VP, Applied AI Research, Thomson Reuters

Isabelle Moulinier

VP, Applied AI Research, Thomson Reuters

Helena Yin Koeppl

Head of Thomson Reuters Labs

Helena is a senior data science and analytics executive with 25 years of professional experience. She has a long history of building data and analytics, AI/ML organizations globally for several world-leading companies across several major industries. Helena is currently Head of Thomson Reuters Labs worldwide. She leads a global team of AI research scientists, AI/ML engineers, and designers to deliver cutting-edge AI-enabled innovations for Thomson Reuter´s Legal, Financial and Information Services products. Previously she led Data Science & Advanced Analytics organization for Bayer Pharmaceuticals globally for 4 years, leveraging AI and Machine Learning to optimize patient outcomes. Before that, using her unique expertise in bridging the important junction of business and data science and technology, she had also designed and implemented to success multiple large-scale data and analytic transformations for Johnson & Johnson and Procter & Gamble globally. Although originally from Singapore, Helena has worked and lived in several European countries for the past 21 years. She’s currently based in Switzerland with her family.

Isabelle Moulinier

VP, Applied AI Research, Thomson Reuters

Isabelle currently leads a team of applied scientists focused on bringing state-of-the-art research in artificial intelligence to the next generation of products. Isabelle has built, then led the development of many advanced technologies, specifically machine learning and natural language processing technologies, for Thomson Reuters for over 20 years. In that time, she and her team contributed to products such as Westlaw Japan, ResultsPlus, WestlawNext, Westlaw Edge and Checkpoint Edge. Most recently, her team was instrumental in developing the AI components at the core of Quick Check and Quick Check Judicial. Isabelle and her team have worked closely with the team of professionals driving product innovation in Westlaw Edge. Together, they are currently exploring how AI technologies can be applied further to solve problems for lawyers. Isabelle holds a M.Sc. and Ph.D. from the Université Pierre et Marie Curie, Paris, France, and a Diplôme d’Ingénieur from the Institut d’Informatique d’Entreprise, Evry, France. Before her recent return to Thomson Reuters, Isabelle led a team of data scientists at Capital One.